Complexity and Artificial Markets
In recent years, agent-based simulation has become a widely accepted tool when dealing with complexity in economics and other social sciences. The contributions presented in this book apply agent-based methods to derive results from complex models related to market mechanisms, evolution, decision ma...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2008, 2008
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| Edition: | 1st ed. 2008 |
| Series: | Lecture Notes in Economics and Mathematical Systems
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Market Mechanisms
- Zero-Intelligence Trading Without Resampling
- Understanding the Price Dynamics of a Real Market Using Simulations: The Dutch Auction of the Pescara Wholesale Fish Market
- Market Behavior Under Zero-Intelligence Trading and Price Awareness
- Evolution and Decision Making
- Evolutionary Switching between Forecasting Heuristics: An Explanation of an Asset-Pricing Experiment
- Prospect Theory Behavioral Assumptions in an Artificial Financial Economy
- Computing the Evolution of Walrasian Behaviour
- Multidimensional Evolving Opinion for Sustainable Consumption Decision
- Information Economics
- Local Interaction, Incomplete Information and Properties of Asset Prices
- Long-Term Orientation in Trade
- Agent-Based Experimental Economics in Signaling Games
- Methodological Issues
- Why do we need Ontology for Agent-Based Models?
- Production and Finance in EURACE
- Serious Games for Economists
- Invited Speakers
- Computational Evolution
- Artificial Markets: Rationality and Organisation